Mapping Poverty and Mobility Patterns in Baltimore City
Nichole Stewart
ACS Data Users Group Conference
May 2014
Migration
• ACS collects data every month and asks about residence one year earlier.
• Many Census resources for State-to-State and County-to-County migration
– Detailed Tables
– Census Flows Mapper
Census Flows Mapper
Migration by Census Tracts
• 2005-2009 5-year ACS (No Characteristics).
• 2006-2010 5-year ACS (Crossed by Age, Sex, Race, or Hispanic or Latino Origin).
• 2007-2011 5-year ACS (Crossed by Educational Attainment, Household Income, or Individual Income, Poverty).
• Variable: B07012
Intersecting Migration and Poverty
Migration
• Current Residents – Living in Same House 1 Year Ago
– Different House 1 Year Ago
• In Baltimore City
• In Different County in Maryland
• In Different State
Poverty
• Below Poverty
• 100-149% Poverty
• 150% and Above Poverty
What Questions Can We Answer?
• How many current residents lived in a different house in Baltimore City? Another county in Maryland? Another state? (Recent Movers)
• How many recent movers have incomes below poverty? (Recent Movers Below Poverty)
• How many current residents with incomes below poverty are recent movers? (Below Poverty Recent Movers)
Data Downloaded (and Calculated)
Recent Movers
Percent Movers
0.2% - 14.2%
14.3% - 25.5%
25.6% - 47.4%
Tract 101
2606.05
2506
2505
2712
2505
2713
1304
2604.04
902
2802
2102
2715.01
2801.02
2803.01
2605.01
2401
2006
1511
2717
2714
801.01
401
2501.03
2502.06
2706
1510
1509
2705.01
2502.05
2719
2708.03
2303
2101
2404
2720.03
2503.01
2201
802
2804.03
908
1508
2008
903
1307
1207
1201
16052804.01
1308.05
2601.01
2602.01
905
1607
1505
1506
2705.02
2702
2002
1513
2805
909
103
2704.01
2601.02
203
901
1306
1308.06
2716
2604.01
1504
2711.02
1512
2708.05
2607
1102
2603.03
2007.01
2704.02
2504.01
2703.012709.02
2708.02
302
2005
2709.03
2503.03
2711.01
2701.02
2602.02
2707.03
1202.02
1507.012803.02
2501.01
2701.01
2710.02
907
402
604
1401
2720.05
301
2502.07
1606
2603.02
2609
906
1205
101
2708.01
1702
904
805
1001
806
808
704
1502
702
1503 8071403
2004
701
1901
2603.01
1501
1302
602
1801
601
2608
1002
1803
1507.022604.03
2801.01
2604.02
1608.02
2502.03
2602.03
2502.04
2804.04
2707.02
1206
104
2720.07
102
2715.03
1308.04
2501.02
2720.06
2708.042720.04
2504.02
2402
1308.03
2709.01
1203
1604
1402
1601
1903
1602
1303
2718.01
2804.02
2301
804
2718.02
1101
803.02
2703.022710.01
2610
2606.04
1703703
1301
2505
1902
1701
1204
801.02
2001202
1603
603
1608.01
2707.01
2003
1802
201
2611
2302
1202.01
105
2403
803.01
2007.02
1003
Percent Movers
0.2% - 14.2%
14.3% - 25.5%
25.6% - 47.4%
Tract 101
Movers Below Poverty
Percent Movers Below Poverty
0.0% - 21.5%
21.6% - 50.5%
50.6% - 100.0%
Tract 101
2606.05
2506
2505
2712
2505
2713
1304
2604.04
902
2802
2102
2715.01
2801.02
2803.01
2605.01
2401
2006
1511
2717
2714
801.01
401
2501.03
2502.06
2706
1510
1509
2705.01
2502.05
2719
2708.03
2303
2101
2404
2720.03
2503.01
2201
802
2804.03
908
1508
2008
903
1307
1207
1201
16052804.01
1308.05
2601.01
2602.01
905
1607
1505
1506
2705.02
2702
2002
1513
2805
909
103
2704.01
2601.02
203
901
1306
1308.06
2716
2604.01
1504
2711.02
1512
2708.05
2607
1102
2603.03
2007.01
2704.02
2504.01
2703.012709.02
2708.02
302
2005
2709.03
2503.03
2711.01
2701.02
2602.02
2707.03
1202.02
1507.012803.02
2501.01
2701.01
2710.02
907
402
604
1401
2720.05
301
2502.07
1606
2603.02
2609
906
1205
101
2708.01
1702
904
805
1001
806
808
704
1502
702
1503 8071403
2004
701
1901
2603.01
1501
1302
602
1801
601
2608
1002
1803
1507.022604.03
2801.01
2604.02
1608.02
2502.03
2602.03
2502.04
2804.04
2707.02
1206
104
2720.07
102
2715.03
1308.04
2501.02
2720.06
2708.042720.04
2504.02
2402
1308.03
2709.01
1203
1604
1402
1601
1903
1602
1303
2718.01
2804.02
2301
804
2718.02
1101
803.02
2703.022710.01
2610
2606.04
1703703
1301
2505
1902
1701
1204
801.02
2001202
1603
603
1608.01
2707.01
2003
1802
201
2611
2302
1202.01
105
2403
803.01
2007.02
1003
Percent Movers Below Poverty
0.0% - 21.5%
21.6% - 50.5%
50.6% - 100.0%
Tract 101
Below Poverty Movers
Percent Below Poverty Movers
0.0% - 19.6%
19.7% - 41.4%
41.5% - 88.8%
Tract 101
What Can This Tell Us?? Percent Movers • Highly transitional neighborhoods Percent Movers Below Poverty • Areas where the majority of movers
have incomes below poverty -or- • Might reflect patterns of poverty Percent Below Poverty Movers • Current residents with incomes below
poverty are recent movers, indicating neighborhood change
Tracts
Percent Total
Movers
Percent
Movers
Below
Poverty
Percent
Below
Poverty
Movers
101 27.7% 39.4% 88.8%
1204 43.2% 24.8% 38.2%
2711.02 0.2% 100.0% 2.4%
2803.02 4.9% 100.0% 15.9%
2713 7.7% 15.3% 71.7%
Tableau
• Free Data Visualization Tool
• Create data visualizations and dashboards that can be embedded in a website or shared
• No need for coding
• Tutorials and user community
Baltimore City CSAs
• Aggregate
– 200 census tracts TO
– 55 CSAs
• Why?
– Easier to see patterns
– Common neighborhood names 2606.05
2506
2505
2712
2505
2713
1304
2604.04
902
2802
2102
2715.01
2801.02
2803.01
2605.01
2401
2006
1511
2717
2714
801.01
401
2501.03
2502.06
2706
1510
1509
2705.01
2502.05
2719
2708.03
2303
2101
2404
2720.03
2503.01
2201
802
2804.03
908
1508
2008
903
1307
1207
2604.03
1201
1605
2804.01
1308.05
2601.01
2602.01
905
1607
1505
1506
2705.02
2702
2002
1513
2805
909
103
2704.01
2601.02
203
901
1306
2801.01
1308.06
2716
2604.02
2604.01
1504
2711.02
1512
2708.05
2607
1608.02
1102
2603.03
2007.01
2704.02
2504.01
2703.012709.02
2708.02
302
2005
2709.03
2503.03
2711.01
2701.02
2602.02
2707.03
1202.02
1507.012803.02
2501.01
2701.01
2710.02
907
402
604
1401
2720.05
301
2502.03
2502.07
1606
2603.02
2609
906
2502.04
1205
101
2707.02
104
2708.01
1702
102
904
805
2501.02
1001
2720.06
806
2708.04
808
2720.04
704
1502
702
1203
1503 8071403
2004
701
1901
2603.01
1501
1302
602
1801
601
2608
2710.01
2606.04
1002
1301
1803
1507.02
2602.03
2804.04
1206
2720.07
2715.03
1308.04
2504.02
2402
1308.03
2709.01
1604
1402
1601
1903
1602
1303
2718.01
2804.02
2301
804
2718.02
1101
803.02
2703.02
2610
1703
703
2505
1902
1701
1204
801.02
2001202
1603
603
1608.01
2707.01
2003
1802 201
2611
2302
1202.01
105
2403
803.01
2007.02
1003
Legend
Community Statistical Areas
Baltimore Census Tracts
Visualization Components
• Filled Maps with Custom Boundaries
– Custom boundaries based on lat/long using ET GeoWizards
– TabGeoHack and GDAL
– shape2tab
• Worksheets and Dashboards
• Actions
http://public.tableausoftware.com/shared/SJDC62RW7?:display_count=no
NICHOLE M. STEWART
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Data Analyst and Researcher Public Policy Doctoral Candidate
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Contact